A Quantitative General Population Job Exposure Matrix for Occupational Noise Exposure
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A Quantitative General Population Job Exposure Matrix for Occupational Noise Exposure. / Stokholm, Zara Ann; Erlandsen, Mogens; Schlünssen, Vivi; Basinas, Ioannis; Bonde, Jens Peter; Peters, Susan; Brandt, Jens; Vestergaard, Jesper Medom; Kolstad, Henrik Albert.
I: Annals of Work Exposures and Health, Bind 64, Nr. 6, 2020, s. 604-613.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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TY - JOUR
T1 - A Quantitative General Population Job Exposure Matrix for Occupational Noise Exposure
AU - Stokholm, Zara Ann
AU - Erlandsen, Mogens
AU - Schlünssen, Vivi
AU - Basinas, Ioannis
AU - Bonde, Jens Peter
AU - Peters, Susan
AU - Brandt, Jens
AU - Vestergaard, Jesper Medom
AU - Kolstad, Henrik Albert
PY - 2020
Y1 - 2020
N2 - Occupational noise exposure is a known risk factor for hearing loss and also adverse cardiovascular effects have been suggested. A job exposure matrix (JEM) would enable studies of noise and health on a large scale. The objective of this study was to create a quantitative JEM for occupational noise exposure assessment of the general working population. Between 2001-2003 and 2009-2010, we recruited workers from companies within the 10 industries with the highest reporting of noise-induced hearing loss according to the Danish Working Environment Authority and in addition workers of financial services and children day care to optimize the range in exposure levels. We obtained 1343 personal occupational noise dosimeter measurements among 1140 workers representing 100 different jobs according to the Danish version of the International Standard Classification of Occupations 1988 (DISCO 88). Four experts used 35 of these jobs as benchmarks and rated noise levels for the remaining 337 jobs within DISCO 88. To estimate noise levels for all 372 jobs, we included expert ratings together with sex, age, occupational class, and calendar year as fixed effects, while job and worker were included as random effects in a linear mixed regression model. The fixed effects explained 40% of the total variance: 72% of the between-jobs variance,-6% of the between-workers variance and 4% of the within-worker variance. Modelled noise levels showed a monotonic increase with increasing expert score and a 20 dB difference between the highest and lowest exposed jobs. Based on the JEM estimates, metal wheel-grinders were among the highest and finance and sales professionals among the lowest exposed. This JEM of occupational noise exposure can be used to prioritize preventive efforts of occupational noise exposure and to provide quantitative estimates of contemporary exposure levels in epidemiological studies of health effects potentially associated with noise exposure.
AB - Occupational noise exposure is a known risk factor for hearing loss and also adverse cardiovascular effects have been suggested. A job exposure matrix (JEM) would enable studies of noise and health on a large scale. The objective of this study was to create a quantitative JEM for occupational noise exposure assessment of the general working population. Between 2001-2003 and 2009-2010, we recruited workers from companies within the 10 industries with the highest reporting of noise-induced hearing loss according to the Danish Working Environment Authority and in addition workers of financial services and children day care to optimize the range in exposure levels. We obtained 1343 personal occupational noise dosimeter measurements among 1140 workers representing 100 different jobs according to the Danish version of the International Standard Classification of Occupations 1988 (DISCO 88). Four experts used 35 of these jobs as benchmarks and rated noise levels for the remaining 337 jobs within DISCO 88. To estimate noise levels for all 372 jobs, we included expert ratings together with sex, age, occupational class, and calendar year as fixed effects, while job and worker were included as random effects in a linear mixed regression model. The fixed effects explained 40% of the total variance: 72% of the between-jobs variance,-6% of the between-workers variance and 4% of the within-worker variance. Modelled noise levels showed a monotonic increase with increasing expert score and a 20 dB difference between the highest and lowest exposed jobs. Based on the JEM estimates, metal wheel-grinders were among the highest and finance and sales professionals among the lowest exposed. This JEM of occupational noise exposure can be used to prioritize preventive efforts of occupational noise exposure and to provide quantitative estimates of contemporary exposure levels in epidemiological studies of health effects potentially associated with noise exposure.
KW - Epidemiological studies
KW - Epidemiology
KW - Job
KW - Job exposure matrix (JEM)
KW - Job exposure matrix for occupational noise exposure
KW - Mixed effects model
KW - Noise exposure
KW - Occupational
KW - Occupational noise exposure
U2 - 10.1093/annweh/wxaa034
DO - 10.1093/annweh/wxaa034
M3 - Journal article
C2 - 32313934
AN - SCOPUS:85087469943
VL - 64
SP - 604
EP - 613
JO - Annals of Occupational Hygiene
JF - Annals of Occupational Hygiene
SN - 2398-7308
IS - 6
ER -
ID: 261450554